From 6be1b7bed624f00f9c2f356fcadf6b9e9441de64 Mon Sep 17 00:00:00 2001 From: shiyu22 Date: Thu, 9 Dec 2021 10:03:08 +0800 Subject: [PATCH] Update README Signed-off-by: shiyu22 --- README.md | 61 ++++++++++++++++++++++++++++++++++++++++++----- pic/pipeline.png | Bin 0 -> 295150 bytes 2 files changed, 55 insertions(+), 6 deletions(-) create mode 100644 pic/pipeline.png diff --git a/README.md b/README.md index 0d653b3..549034a 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,69 @@ # Image Embedding Pipeline with Resnet50 -Authors: name or github-name(email) +Authors: Kyle, shiyu22 ## Overview -Introduce the functions of pipeline. +This pipeline is used to **extract the feature vector of the image**, first to normalize the image , and then use resnet50 model to generate the vector. + +In fact, the pipeline runs by parsing [the yaml file](./image_embedding_resnet50.yaml), which declares some functions we call **Operator**, and the **DataFrame** required by each Operator. Next will introduce the interface, how to use it and how it works, have fun with it! ## Interface -The interface of pipeline.(input & output) +`towhee.pipeline(task: str, fmc: FileManagerConfig = FileManagerConfig(), branch: str = 'main', force_download: bool = False)` [source](https://github.com/towhee-io/towhee/blob/main/towhee/__init__.py) + +**param:** + +- **task**(str), task name or pipeline repo name. +- **fmc**(FileManagerConfig), optional file manager config for the local instance, default is FileManagerConfig(). +- **branch**(str), which branch to use for operators/pipelines on hub, defaults to 'main'. +- **force_download**(bool), whether to redownload pipeline and operators, default is False. + +**return:** + +- **_PipelineWrapper**, which is a wrapper class around `Pipeline`. + +When we declare a pipeline object with a specific task, such as `towhee/image-embedding-resnet50` in this repo, it will run according to the Yaml file, and the input and output are as follows: + +**inputs:** + +- **img_tensor**(PIL.Image), image to be embedded. + +**outputs:** + +- **cnn**(numpy.ndarray), the embedding of image. ## How to use -- Requirements from requirements.txt -- Run it with Towhee +1. Install [Towhee](https://github.com/towhee-io/towhee) + +```bash +$ pip3 install towhee +``` + +> You can refer to [Getting Started with Towhee](towhee.io) for more details. If you have questions, you can [submit an issue to the towhee repository](https://github.com/towhee-io/towhee/issues). + +2. Run it with Towhee + +```python +>>> from towhee import pipeline +>>> from PIL import Image + +>>> img = Image.open('./test_data/test.jpg') +>>> embedding_pipeline = pipeline('towhee/image-embedding-resnet50') +>>> embedding = embedding_pipeline(img) +``` ## How it works -- op1->op2->op3 , and intro all the op used. (auto generate graph) \ No newline at end of file +First of all, you need to learn the pipeline and operator in Towhee architecture: + +- **Pipeline**: A `Pipeline` is a single machine learning task that is composed of several operators. Operators are connected together internally via a directed acyclic graph. + +- **Operator**: An `Operator` is a single node within a pipeline. It contains files (e.g. code, configs, models, etc...) and works for reusable operations (e.g., preprocessing an image, inference with a pretrained model). + +This pipeline includes four functions: `_start_op`, `towhee/transform-image`, `towhee/resnet50-image-embedding` and` _end_op`. It is necessary to ensure that the input and output of the four Operators correspond to each other, and the input and output data types can be defined by DataFrame. + +![img](./pic/pipeline.png) + +Among the four Operator,`_start_op` and `_end_op` are required in any Pipeline, and they are used to start and end the pipeline in the Towhee system. For the other two Operators, please refer to [towhee/transform-image](https://hub.towhee.io/towhee/transform-image) and [towhee/resnet50-image-embedding](https://hub.towhee.io/towhee/resnet50-image-embedding). diff --git a/pic/pipeline.png b/pic/pipeline.png new file mode 100644 index 0000000000000000000000000000000000000000..d5609d913e2dad036a6afe42cee5db5733861a7a GIT binary patch literal 295150 zcmeFZcRUI4yWt=@ZxlL(TC61|sQoz<=0qqnt- zC8ArauFh|q^VIL>InVj;_t&$p*X+#B+%xygU9Ri>eqYz@2X$3NDhehFA|fIxr5DdM ziHOLIiHJyi$S(nV_ASU&h=?f2tmWm^mE`5w)t#Vkt?ev`h+ce%j&aw%p-10t0$O~w zlHE1%D^ZK&tMgZOy&LiNR;2^auF*cuZT#)_ZQ_sY^4bpCL05Qge++yodtp1^3URmS zO&U5x&gT!cmhSz2i<31C+prb5!R~1;HPKfQUT$tydSZ5tN70L`b{*stS50U9F1?W@ zYnCM?FGg`IRZLH_5)HDQq54iA*o!m;6xRY2R^-_7@g@+gD z8!w3xi_DN7%RWSrqu81560vp?O}ysnBq4n*BYLs>DV^vArbcduOD+NS4vdB*m5nqv zNvWGI#$6Ik25bb$|`qKI0Z|xo7}%i5n82w``aZ8`Px+C z+?zb1u(an(-b<1$j5QaiBtRQX z-hI(Ih#^oOrF{SP$n_fX%FDyS7U>T)qOFv6?zCTbzuxm3Un{&-u~p>mb)~>J&$l?* 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